Senior Process Engineer
About The Position
E Ink Corporation is the global leader in electronic paper technology, transforming the way people access information through innovative, low-power display solutions. Our technology is used worldwide in eReaders, electronic shelf labels, digital signage, transportation displays, wearable devices, and a growing range of Internet of Things applications. By combining cutting-edge innovation with a commitment to sustainability, E Ink enables products that consume minimal power while delivering an exceptional reading and viewing experience. At E Ink, innovation, collaboration, and continuous improvement are at the core of everything we do. We foster an inclusive and supportive work environment where diverse perspectives are valued, employees are empowered to grow, and teams work together to solve complex challenges. Whether you're advancing next-generation display technology, supporting our customers, or driving business operations, you'll have the opportunity to make a meaningful impact on products used by millions of people around the world. If you're passionate about innovation and want to help shape the future of display technology, we'd love to hear from you.
Requirements
- B.S. in Computer Science, Physics, Optical Engineering, Electrical Engineering, Applied Math or related degree.
- Strong proficiency in Python and experience developing software-driven automation systems
- Demonstrated experience designing, maintaining, and extending large, complex software automation codebases used by engineers or operators
- Solid understanding of software architecture, version control, testing, and deployment best practices
- Excellent communication skills with the ability to collaborate effectively across disciplines and geographies
- Highly organized, self-directed, and comfortable operating in fast-paced environments with tight deadlines
Nice To Haves
- 3+ years of experience owning or supporting mass production processes or production automation systems
- Experience working with global teams across manufacturing, R&D, software, and operations
- Familiarity with Deep Learning workflows, data pipelines, or ML infrastructure in production environments
- Strong background in statistical analysis, reliability metrics, and data-driven process improvement for production environments
- Experience deploying and supporting systems across mixed cloud and on-premise environments
- Experience with electronics hardware (oscilloscopes, power supplies, function generators, cameras, Arduinos, DAQs, or other electronics)
Responsibilities
- Architect, implement, and maintain scalable automation frameworks for production processes deployed across multiple products and global manufacturing sites
- Own the technical lifecycle of automated processes, from early development integration through global production deployment and long-term support
- Collaborate with software, data science, and process engineers to integrate Deep Learning pipelines into production workflows, utilizing both cloud-based and on-premise compute resources
- Develop process specifications and performance criteria that translate product reliability targets into scalable production controls
- Design reliability measurement workflows, including data collection, analysis, and reporting methods that enable rapid identification of process drift and failure modes
- Drive process improvement initiatives using statistical analysis and experimental data to achieve targeted reliability, yield, and manufacturability outcomes
- Co-develop automation tools and fleet management software for production equipment, test systems, and compute infrastructure in partnership with the Software Development team
- Coordinate with global stakeholders to define requirements, align priorities, and own delivery schedules for production initiatives
- Lead cross-site deployment, troubleshooting, training, and continuous improvement of hardware and software systems
- Contribute to the definition and development of internal tools and processes that support research, experimentation, and rapid iteration
- Serve as a technical leader and mentor, helping establish best practices for software quality, reliability, and maintainability in production environments
Benefits
- medical, dental, and vision insurance
- life and disability coverage
- paid time off
- 401(k) retirement savings plan
- bonus program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
